Using major depression polygenic risk scores to explore the depressive symptom continuum

Bradley S. Jermy, Saskia P. Hagenaars, Kylie P. Glanville, Jonathan R.I. Coleman, David M. Howard, Gerome Breen, Evangelos Vassos, Cathryn M. Lewis

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Major depression (MD) is often characterised as a categorical disorder; however, observational studies comparing sub-threshold and clinical depression suggest MD is continuous. Many of these studies do not explore the full continuum and are yet to consider genetics as a risk factor. This study sought to understand if polygenic risk for MD could provide insight into the continuous nature of depression. Methods Factor analysis on symptom-level data from the UK Biobank (N = 148 957) was used to derive continuous depression phenotypes which were tested for association with polygenic risk scores (PRS) for a categorical definition of MD (N = 119 692). Results Confirmatory factor analysis showed a five-factor hierarchical model, incorporating 15 of the original 18 items taken from the PHQ-9, GAD-7 and subjective well-being questionnaires, produced good fit to the observed covariance matrix (CFI = 0.992, TLI = 0.99, RMSEA = 0.038, SRMR = 0.031). MD PRS associated with each factor score (standardised β range: 0.057-0.064) and the association remained when the sample was stratified into case- and control-only subsets. The case-only subset had an increased association compared to controls for all factors, shown via a significant interaction between lifetime MD diagnosis and MD PRS (p value range: 2.23 × 10-3.94 × 10). Conclusions An association between MD PRS and a continuous phenotype of depressive symptoms in case- and control-only subsets provides support against a purely categorical phenotype; indicating further insights into MD can be obtained when this within-group variation is considered. The stronger association within cases suggests this variation may be of particular importance.

Original languageEnglish
Pages (from-to)149-158
Number of pages10
JournalPsychological Medicine
Volume52
Issue number1
DOIs
StatePublished - 10 Jan 2022
Externally publishedYes

Keywords

  • Categorical
  • dimensional
  • genetics
  • major depression
  • polygenic risk scores
  • psychiatric nosology

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